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1. Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy

Author

Cavalleri, Francesco, Lussana, Cristian, Viterbo, Francesca, Brunetti, Michele, Bonanno, Riccardo, Manara, Veronica, Lacavalla, Matteo, Sperati, Simone, Raffa, Mario, Capecchi, Valerio, Cesari, Davide, Giordani, Antonio, Cerenzia, Ines Maria Luisa, and Maugeri, Maurizio

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

This study focuses on the validation of high-resolution regional reanalyses to understand their effectiveness in reproducing precipitation patterns over Italy, a climate change hotspot characterized by coastal sea-land interaction and complex orography. Nine reanalysis products were evaluated, with the ECMWF global reanalysis ERA5 serving as a benchmark. These included both European (COSMO-REA6, CERRA) and Italy-specific (BOLAM, MERIDA, MERIDA-HRES, MOLOCH, SPHERA, VHR-REA\_IT) datasets, using different models and parametrizations. The inter-comparison involved determining the effective resolution of daily precipitation fields using wavelet techniques and assessing intense precipitation statistics through frequency distributions. In-situ observations and observational gridded datasets were used to independently validate reanalysis precipitation fields. The capability of reanalyses to depict daily precipitation patterns was assessed, highlighting a maximum radius of precipitation misplacement of about 15 km, with notably lower skills during summer. An overall overestimation of precipitation was identified in the reanalysis climatological fields over the Po Valley and the Alps, whereas multiple products showed an underestimation of precipitations across the North-West coast, the Apennines, and Southern Italy. Finally, a comparison with a time-consistent observational dataset (UniMi/ISAC-CNR) revealed a non-stable deviation from observations in the annual precipitation cumulate of the reanalysis products analyzed. This should be taken into account when interpreting precipitation trends over Italy.

Published
2024

5. The history of rainfall data time-resolution in a wide variety of geographical areas

Author

Morbidelli, Renato, García-Marín, A. P., Al Mamun, Abdullah, Atiqur, Rahman Mohammad, Ayuso-Muñoz, José Luís, Taouti, Mohamed Bachir, Baranowski, Piotr, Bellocchi, Gianni, Sangüesa-Pool, Claudia, Bennett, Brett, Oyunmunkh, Byambaa, Bonaccorso, Brunella, Brocca, Luca, Caloiero, Tommaso, Capolari, Enrica, Caracciolo, Domenico, Casas-Castillo, M. Carmen, Catalini, Carlos G., Chettih, Mohamed, Chowdhury, A. F. M. Kamal, Chowdhury, Rezaul, Corradini, Corrado, Custò, Jeffrey, Dari, Jacopo, Diodato, Nazzareno, Doesken, Nolan, Dumitrescu, Alexandru, Estévez, Javier, Flammini, Alessia, Fowler, Hayley J., Freni, Gabriele, Fusto, Francesco, García-Barrón, Leoncio, Manea, Ancuta, Goenster-Jordan, Sven, Hinson, Stuart, Kanecka-Geszke, Ewa, Kar, Kanak Kanti, Kasperska-Wołowicz, Wiesława, Krabbi, Miina, Krzyszczak, Jaromir, Llabrés-Brustenga, Alba, Ledesma, José L. J., Liu, Tie, Lompi, Marco, Marisco, Loredana, Mascaro, Giuseppe, Moramarco, Tommaso, Newman, Noah, Orzan, Alina, Pampaloni, Matteo, Pizarro-Tapia, Roberto, Puentes Torres, Antonio, Rashid, Md Mamunur, Rodríguez-Solà, Raúl, Sepulveda Manzor, Marcelo, Siwek, Krzysztof, Sousa, Arturo, Timbadiya, P. V., Filippos, Tymvios, Vilcea, Marina Georgiana, Viterbo, Francesca, Yoo, Chulsang, Zeri, Marcelo, Zittis, Georgios, Saltalippi, Carla, Morbidelli, Renato, García-Marín, A. P., Al Mamun, Abdullah, Atiqur, Rahman Mohammad, Ayuso-Muñoz, José Luís, Taouti, Mohamed Bachir, Baranowski, Piotr, Bellocchi, Gianni, Sangüesa-Pool, Claudia, Bennett, Brett, Oyunmunkh, Byambaa, Bonaccorso, Brunella, Brocca, Luca, Caloiero, Tommaso, Capolari, Enrica, Caracciolo, Domenico, Casas-Castillo, M. Carmen, Catalini, Carlos G., Chettih, Mohamed, Chowdhury, A. F. M. Kamal, Chowdhury, Rezaul, Corradini, Corrado, Custò, Jeffrey, Dari, Jacopo, Diodato, Nazzareno, Doesken, Nolan, Dumitrescu, Alexandru, Estévez, Javier, Flammini, Alessia, Fowler, Hayley J., Freni, Gabriele, Fusto, Francesco, García-Barrón, Leoncio, Manea, Ancuta, Goenster-Jordan, Sven, Hinson, Stuart, Kanecka-Geszke, Ewa, Kar, Kanak Kanti, Kasperska-Wołowicz, Wiesława, Krabbi, Miina, Krzyszczak, Jaromir, Llabrés-Brustenga, Alba, Ledesma, José L. J., Liu, Tie, Lompi, Marco, Marisco, Loredana, Mascaro, Giuseppe, Moramarco, Tommaso, Newman, Noah, Orzan, Alina, Pampaloni, Matteo, Pizarro-Tapia, Roberto, Puentes Torres, Antonio, Rashid, Md Mamunur, Rodríguez-Solà, Raúl, Sepulveda Manzor, Marcelo, Siwek, Krzysztof, Sousa, Arturo, Timbadiya, P. V., Filippos, Tymvios, Vilcea, Marina Georgiana, Viterbo, Francesca, Yoo, Chulsang, Zeri, Marcelo, Zittis, Georgios, and Saltalippi, Carla

Abstract

Collected rainfall records by gauges lead to key forcings in most hydrological studies. Depending on sensor type and recording systems, such data are characterized by different time-resolutions (or temporal aggregations), ta. We present an historical analysis of the time-evolution of ta based on a large database of rain gauge networks operative in many study areas. Globally, ta data were collected for 25,423 rain gauge stations across 32 geographic areas, with larger contributions from Australia, USA, Italy and Spain. For very old networks early recordings were manual with coarse time-resolution, typically daily or sometimes monthly. With a few exceptions, mechanical recordings on paper rolls began in the first half of the 20th century, typically with ta of 1 h or 30 min. Digital registrations started only during the last three decades of the 20th century. This short period limits investigations that require long time-series of sub-daily rainfall data, e.g, analyses of the effects of climate change on short-duration (sub-hourly) heavy rainfall. In addition, in the areas with rainfall data characterized for many years by coarse time-resolutions, annual maximum rainfall depths of short duration can be potentially underestimated and their use would produce errors in the results of successive applications. Currently, only 50% of the stations provide useful data at any time-resolution, that practically means ta = 1 min. However, a significant reduction of these issues can be obtained through the information content of the present database. Finally, we suggest an integration of the database by including additional rain gauge networks to enhance its usefulness particularly in a comparative analysis of the effects of climate change on extreme rainfalls of short duration available in different locations.

Published
2020

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